dc.contributor.authorOu, Yanjing
dc.contributor.authorWu, Zhang
dc.contributor.authorLee, Ka Man
dc.contributor.authorChen, Songlin
dc.date.accessioned2013-10-24T07:39:26Z
dc.date.available2013-10-24T07:39:26Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationOu, Y., Wu, Z., Lee, K. M., & Chen, S. (2012). An optimal design algorithm of the SPRT chart for minimizing weighted ATS. International Journal of Production Economics, 139(2), 564-574.en_US
dc.identifier.issn0925-5273en_US
dc.identifier.urihttp://hdl.handle.net/10220/16798
dc.description.abstractThe Sequential Probability Ratio Test (SPRT) chart is a very effective control chart. It is much faster to detect out-of-control cases compared with the and CUSUM charts, even their VSSI (Variable Sample Sizes and Sampling Intervals) versions. The new contribution of this paper is the development of an algorithm for the optimal design of the SPRT chart based on the Average Extra Quadratic Loss (AEQL). More importantly, the results of the systematic comparative studies show that this design algorithm is indeed effective. Using the design algorithm proposed here yields charts that significantly outperform other designs in terms of the proposed AEQL performance criteria for detecting process mean shifts. Moreover, this paper conducts a designed experiment to study the effect of the Average Sample Number (ASN) (i.e., the average sample size) on the chart's performance. It is found that, in order to achieve higher overall detection effectiveness, the ASN of the SPRT chart should be set substantially smaller compared with that recommended by the existing guidelines.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesInternational journal of production economicsen_US
dc.titleAn optimal design algorithm of the SPRT chart for minimizing weighted ATSen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.ijpe.2012.05.031


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